Sovereign Private Cloud Solutions & IaaS Control Planes
Experience public-cloud agility with bare-metal determinism and absolute data sovereignty. We architect and deploy turnkey, multi-tenant private clouds powered by OpenStack, Proxmox VE, Kubernetes, and enterprise cloud suites — enabling self-service VM, container, and fractional GPU provisioning behind your own enterprise firewall.
Enterprise Use Cases & Workloads
Cloud Repatriation
Public Cloud Repatriation (AWS/Azure Exit)
Migrate steady-state production VMs, databases, and AI inference pipelines off expensive public clouds onto owned bare-metal control planes — slashing 36-month TCO by up to 65% and eliminating punitive data egress charges.
AI Sandboxes
Self-Service AI & R&D Sandboxes
Empower data scientists to spin up isolated Jupyter, PyTorch, and Docker environments in seconds via a web portal. Automatically slice 80GB/48GB datacenter GPUs using NVIDIA MIG and reclaim idle compute when jobs terminate.
Regulated Enclaves
Regulated FinTech, Defense & Healthcare Enclaves
Build air-gapped or strictly firewalled multi-tenant environments that guarantee 100% physical and cryptographic custody of sensitive PII, patient diagnostics, and financial ledger data (RBI, DPDP Act, HIPAA compliant).
DevOps & K8s
Enterprise DevOps & Elastic Kubernetes Grids
Provide software engineering teams with automated Metal-as-a-Service (MaaS) and Kubernetes cluster APIs, running high-density microservices side-by-side with legacy monolithic virtual machines.
Cloud Control Plane & Orchestration Stack
We Engineer the Control Plane, Not Just the Rack. Deploying a private cloud often stalls at complex network overlays and identity management. Kirti Telnet delivers fully integrated clouds — pre-configured with BGP/EVPN SDN fabrics, Active Directory/Keycloak RBAC, automated backup snapshots, and Prometheus/Grafana telemetry.
IaaS Cloud Control Planes
Best for: Large-Scale Multi-Tenant IaaS & Self-Service Portals
Enterprise KVM Virtualization
Best for: High-Density VM Consolidation & VMware Exit
Container & AI Orchestration
Best for: Elastic MLOps & Microservices
SDN & Security
Best for: Micro-Segmentation & Zero-Trust VPCs
Private Cloud Reference Architectures
A production private cloud is engineered across segregated functional tiers to prevent control-plane contention. Below are the reference building blocks we custom-scale to match your tenant concurrency, VM density, and GPU compute requirements.
3-Node Compact Sovereign Cloud
Starter Pod
Form Factor: 3x 2U Rackmount (HA Quorum Cluster)
Processor: Single/Dual AMD EPYC 9004 (Up to 192 Cores Total) | 768 GB DDR5 ECC
Virtualization: Proxmox VE / KVM or Tyrone Cloud Suite (Converged Control + Compute)
Network: Dual 25GbE SDN | 30 TB Enterprise PLP NVMe Distributed Pool
Starting Price
~₹ 22,50,000
Turnkey 3-Node Pod
Dedicated Cloud Control Plane Cluster
High-Availability API/DB
Form Factor: 3x 1U Rackmount (High-Availability API/DB)
Processor: Single AMD EPYC / Intel Xeon (24C–32C per node) | 256 GB DDR5 ECC per node
Hosts: OpenStack/K8s APIs, etcd, Ceph Monitors, Keycloak IAM, Grafana Telemetry
Network: Dual 25GbE Out-of-Band & Management VLAN | RAID-10 Gen4 NVMe
Starting Price
~₹ 13,50,000
3-Node Control Tier
Elastic Hypervisor Compute Node
Scale-Out
Form Factor: 1U / 2U Rackmount (Stateless / SDS Worker)
Processor: Dual AMD EPYC 9004 (Up to 128C–192C per node) | 1 TB to 2 TB DDR5 ECC
Virtualization: KVM / QEMU with SR-IOV Network Offload & VirtIO Block Acceleration
Network: Dual 100GbE Leaf-Spine (RoCEv2) | Local NVMe Cache + Central SDS
Starting Price
~₹ 11,80,000
Per Compute Node
Multi-Tenant AI / GPU Cloud Worker Node
GPU Passthrough / MIG
Form Factor: 2U / 4U Rackmount (GPU Passthrough / MIG)
Processor: Dual AMD EPYC 9004 | 1 TB DDR5 ECC
GPU: 2x to 4x NVIDIA L40S 48GB or H100 80GB (vGPU / Hardware MIG Partitioning)
Network: Dual 100GbE / 200GbE East-West Fabric | 15 TB Gen5 NVMe Scratch
Starting Price
~₹ 38L – 1.15 Cr
Per GPU Cloud Node
Architectural Deep Dive
Hardware-Enforced Multi-Tenancy (SR-IOV, DPUs & NVIDIA MIG)
Traditional software switches (OVS) consume up to 20% of host CPU cycles processing virtual network packets. We offload cloud networking using Single Root I/O Virtualization (SR-IOV) and NVIDIA BlueField DPUs, delivering bare-metal wire speed directly into tenant VMs. For AI workloads, we implement hardware-enforced NVIDIA Multi-Instance GPU (MIG), slicing single physical GPUs into isolated silicon instances with dedicated VRAM and cache paths — preventing “noisy neighbor” performance bleed.
Unified VM & Container Co-Existence
Modern enterprises shouldn’t maintain separate physical silos for legacy Windows/Linux VMs and cloud-native Kubernetes pods. Our architectures leverage unified KVM and container runtimes (such as Proxmox VE with LXC/K8s or OpenShift/KubeVirt), allowing your teams to orchestrate persistent databases, virtual desktops, and ephemeral AI training containers on the exact same physical cluster.
Self-Service RBAC, Quotas & FinOps Telemetry
A collection of servers only becomes a “Cloud” when IT stops manually provisioning tickets. We configure multi-tenant Role-Based Access Control (RBAC) portals where Department Heads or Project Leads are assigned hard resource quotas (vCPUs, RAM, TB of NVMe, and GPU slices). Integrated telemetry tracks exact hourly resource consumption per project for internal FinOps showback or commercial tenant billing.
Frequently Asked Questions
What makes a “Private Cloud” different from standard server virtualization?
Standard virtualization (like a basic VMware or Hyper-V host) still requires an IT administrator to manually create VMs, assign VLANs, and provision storage for every user request. A Private Cloud adds an automated orchestration and self-service layer (IaaS/PaaS) on top of the hypervisor — allowing authorized users or CI/CD pipelines to spin up isolated virtual datacenters, networks, and GPU instances on-demand within pre-approved security quotas.
How does Private Cloud TCO compare to AWS, Azure, or GCP?
While public clouds are convenient for unpredictable, short-term spikes, any enterprise running baseline workloads or continuous AI training/inference above 50–60% utilization pays a massive recurring premium. Repatriating those workloads to an on-premise Private Cloud typically achieves full capex break-even within 12 to 16 months, while eliminating unpredictable bandwidth egress fees entirely.
Can our developers use Terraform, Ansible, and Kubernetes APIs on a Kirti Telnet Private Cloud?
Yes. Our private cloud deployments expose standard Infrastructure-as-Code (IaC) APIs. Your DevOps and MLOps teams can provision bare-metal instances, KVM virtual machines, and Kubernetes worker nodes programmatically using Terraform, Ansible, and standard CLI tools — identical to their workflow on public clouds.
How do you secure tenant isolation in a shared university or enterprise private cloud?
We enforce isolation across three distinct layers: network micro-segmentation using VXLAN/GENEVE overlays and distributed stateful firewalls; compute isolation via KVM hardware virtualization and confidential compute enclaves; and storage isolation using encrypted Ceph/NVMe namespaces per tenant project.
Request a Private Cloud Topology Design
Whether you’re repatriating from AWS/Azure or building a sovereign multi-tenant cloud from scratch, our architects will design the exact topology for your enterprise.
Get in Touch Today for Expert Solutions and Support